Monte Carlo Simulation in Statistical Physics: An Introduction - Rilegato

Binder, Kurt; Heermann, Dieter W.

Rilegato

ISBN 10: 3642031625 ISBN 13: 9783642031625

Casa editrice: Springer Nature, 2010

Riassunto

Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methodsand gives a systematic presentation from which newcomers can learn to perform such simulations and to analyze their results. The fifth edition covers Classical as well as Quantum Monte Carlo methods. Furthermore a new chapter on the sampling of free energy landscapes has been added. To help students in their work a special web server has been installed to host programs and discussion groups (http://wwwcp.tphys.uni-heidelberg.de). Prof. Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001 as well as the Boltzmann Medal in 2007.

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Contenuti

Introduction: Purpose and Scope of This Volume, and Some General Comments.- Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics.- Guide to Practical Work with the Monte Carlo Method.- Some Important Recent Developments of the Monte Carlo Methodology.- Quantum Monte Carlo Simulations: An Introduction.- Monte Carlo Methods for the Sampling of Free Energy Landscapes.

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2010
• ISBN 10: 3642031625
• ISBN 13: 9783642031625
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero edizione: 5
• Numero di pagine: 200